在dplyr中进行％>％突变

Question

pcd <- data.frame(tripNo = c(618, 618, 610, 610, 610, 619), 
              procDate = as.Date(c('2016-03-02', '2016-03-03', '2016-03-02', '2016-03-03', '2016-03-02', '2016-03-03')),
              delay = c(7.45, 12.90, 11.88, 6.66, 12.50, 9.41) )

我想标记在两天不同的行程中出现的不一致之处，其中第二天的延迟比前一天的最后一天的延迟短。我现在是这样做的：

pcd %>%
  arrange(tripNo, procDate, delay) %>% 
  group_by(tripNo) %>% 
  mutate(delayErr = (row_number() != 1) & (delay < lag(delay)),
         Alert = ifelse(delayErr, '!', '')) %>%
  select(tripNo, procDate, delay, delayErr, Alert)

  tripNo   procDate delay delayErr Alert
   (dbl)     (date) (dbl)    (lgl) (chr)
1    610 2016-03-02 11.88    FALSE      
2    610 2016-03-02 12.50    FALSE      
3    610 2016-03-03  6.66     TRUE     !
4    618 2016-03-02  7.45    FALSE      
5    618 2016-03-03 12.90    FALSE      
6    619 2016-03-03  9.41    FALSE      

这样就可以了，我的问题是我第一次尝试使用substr的问题：

pcd %>% arrange(tripNo, procDate, delay) %>% 
group_by(tripNo) %>% 
mutate(delayErr = (row_number() != 1) & (delay < lag(delay)),
       Alert = substr(' !', delayErr + 1, delayErr + 1) ) %>%  # <<< This is the only change
select(tripNo, procDate, delay, delayErr, Alert)

  tripNo   procDate delay delayErr Alert
   (dbl)     (date) (dbl)    (lgl) (chr)
1    610 2016-03-02 11.88    FALSE      
2    610 2016-03-02 12.50    FALSE      
3    610 2016-03-03  6.66     TRUE      
4    618 2016-03-02  7.45    FALSE      
5    618 2016-03-03 12.90    FALSE      
6    619 2016-03-03  9.41    FALSE      

使用此代码，警报不会按预期显示。有人可以向我解释为什么第二个dplyr查询不起作用吗？
谢谢！

Answer 1

已经有substrie 的向量化版本substring

pcd %>%
  arrange(tripNo, procDate, delay) %>% 
  group_by(tripNo) %>% 
  mutate(delayErr = (row_number() != 1) & (delay < lag(delay)),
         Alert = substring(' !', delayErr +1, delayErr +1)) %>% 
  select(tripNo, procDate, delay, delayErr, Alert)
#   tripNo   procDate delay delayErr Alert
#   (dbl)     (date) (dbl)    (lgl) (chr)
#1    610 2016-03-02 11.88    FALSE      
#2    610 2016-03-02 12.50    FALSE      
#3    610 2016-03-03  6.66     TRUE     !
#4    618 2016-03-02  7.45    FALSE      
#5    618 2016-03-03 12.90    FALSE      
#6    619 2016-03-03  9.41    FALSE